Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Adrian, Cheung"'
Autor:
Lichao Lin, Adrian Cheung
Publikováno v:
Financial Innovation, Vol 8, Iss 1, Pp 1-22 (2022)
Abstract Through the lens of the stock market, we examine whether and how the cloud economy affects China’s economy. We review the literature on cloud computing and related concepts and propose a definition of the cloud economy. Based on this new d
Externí odkaz:
https://doaj.org/article/bc70bcdabb8e4213aa03e3d365776428
Autor:
Joye Khoo, Adrian Cheung
Publikováno v:
Financial Review. 57:429-451
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a612b139025b64b311a3f9e5d139fdb
https://doi.org/10.1111/fire.12289
https://doi.org/10.1111/fire.12289
Publikováno v:
Financial Review. 56:743-771
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa36bdfa51e3c9879a6b99d8b91c59d6
https://doi.org/10.1111/fire.12264
https://doi.org/10.1111/fire.12264
Publikováno v:
International Review of Economics & Finance. 71:453-466
We investigate whether institutional investors’ distraction affects corporate cash holdings. We also investigate two channels that may explain the relationship (if any) between institutional shareholder distraction and corporate cash holdings. Firs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d232fdd56ce1eda349be35e1b96b2617
https://doi.org/10.1016/j.iref.2020.08.018
https://doi.org/10.1016/j.iref.2020.08.018
Publikováno v:
Financial Review. 56:355-380
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5260f3a5c491a180758f51d9845fccc2
https://doi.org/10.1111/fire.12255
https://doi.org/10.1111/fire.12255
Publikováno v:
International Journal of Finance & Economics. 26:1739-1744
This paper empirically studies the differences among the systematic risks of three asset pricing models, namely; the mean–variance capital asset pricing model (MV‐CAPM), AS‐CAPM and FH‐CAPM. The last two are derived by replacing variance with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5232f17a96caed6b278d44f2b6bb24b
https://doi.org/10.1002/ijfe.1875
https://doi.org/10.1002/ijfe.1875
Publikováno v:
International Journal of Hospitality Management. 82:136-148
The objective of the study is to examine short selling activity in the hospitality industry. Using short interest from 1996 to 2015 in airline, gambling, hotel and restaurant firms, we analyze their demand and supply factors for short selling. Result
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::925d6a6deac9fe23464152c6cc86badf
https://doi.org/10.1016/j.ijhm.2019.03.029
https://doi.org/10.1016/j.ijhm.2019.03.029
Publikováno v:
Accounting & Finance. 60:2203-2230
We investigate the demand and supply sides of short‐selling activity in the US from 2003 to 2015. We construct four types of demand‐side variables from fundamentals, and three types of supply‐side variables from institutional ownership (IO) and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dcce7f65572713a2be4d9dfad479523
https://doi.org/10.1111/acfi.12430
https://doi.org/10.1111/acfi.12430
Publikováno v:
COLING
Slot-filling models in task-driven dialog systems rely on carefully annotated training data. However, annotations by crowd workers are often inconsistent or contain errors. Simple solutions like manually checking annotations or having multiple worker
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4962731f41bccce66acdae832796958c
https://doi.org/10.18653/v1/2020.coling-main.442
https://doi.org/10.18653/v1/2020.coling-main.442
Autor:
Anthony Zheng, Stefan Larson, Rishi Tekriwal, Eric Guldan, Anish Mahendran, Jonathan K. Kummerfeld, Adrian Cheung, Kevin Leach
Publikováno v:
EMNLP (1)
Diverse data is crucial for training robust models, but crowdsourced text often lacks diversity as workers tend to write simple variations from prompts. We propose a general approach for guiding workers to write more diverse text by iteratively const
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e0bfb19c210ce4d229e92f01a1e95b2
https://doi.org/10.18653/v1/2020.emnlp-main.650
https://doi.org/10.18653/v1/2020.emnlp-main.650